Xiaobing Yan , Jiahao Bai , Yinxing Zhang , Hong Wang, Jianhui Zhao, Zhenyu Zhou, Yong Sun, Zhongrong Wang, Zhenqiang Guo, Zhen Zhao, Jiangzhen Niu
{"title":"基于掺 Lu HfO2 铁电薄膜的低功耗忆阻器及其多功能实现","authors":"Xiaobing Yan , Jiahao Bai , Yinxing Zhang , Hong Wang, Jianhui Zhao, Zhenyu Zhou, Yong Sun, Zhongrong Wang, Zhenqiang Guo, Zhen Zhao, Jiangzhen Niu","doi":"10.1016/j.mtnano.2024.100458","DOIUrl":null,"url":null,"abstract":"<div><p>Next-generation non-volatile memories with low power consumption and multiple functions are highly desired in the era of big data. Here, we report a high-performance ferroelectric memristor Pd/Lu:HfO<sub>2</sub>/La<sub>0.7</sub>Sr<sub>0.3</sub>MnO<sub>3</sub>/SrTiO<sub>3</sub>/Si, which has low average set and reset powers of 4.28 nW and 0.75 nW, respectively. It can successfully simulate biological synaptic functions, such as the refractory period, spike-timing-dependent plasticity, and paired pulse facilitation. Moreover, the device realizes the simulation of decimal addition and multiplication. In particular, the device can be combined with the threshold device to form a neuromorphic network, which not only realizes multi-value data storage, data decryption and encryption, but also intensity modulation of peak frequency. These results may throw light on the way for the future research of low-power multifunctional neuro morphology chips.</p></div>","PeriodicalId":48517,"journal":{"name":"Materials Today Nano","volume":"25 ","pages":"Article 100458"},"PeriodicalIF":8.2000,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A low power memristor based on Lu doped HfO2 ferroelectric thin films and its multifunctional realization\",\"authors\":\"Xiaobing Yan , Jiahao Bai , Yinxing Zhang , Hong Wang, Jianhui Zhao, Zhenyu Zhou, Yong Sun, Zhongrong Wang, Zhenqiang Guo, Zhen Zhao, Jiangzhen Niu\",\"doi\":\"10.1016/j.mtnano.2024.100458\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Next-generation non-volatile memories with low power consumption and multiple functions are highly desired in the era of big data. Here, we report a high-performance ferroelectric memristor Pd/Lu:HfO<sub>2</sub>/La<sub>0.7</sub>Sr<sub>0.3</sub>MnO<sub>3</sub>/SrTiO<sub>3</sub>/Si, which has low average set and reset powers of 4.28 nW and 0.75 nW, respectively. It can successfully simulate biological synaptic functions, such as the refractory period, spike-timing-dependent plasticity, and paired pulse facilitation. Moreover, the device realizes the simulation of decimal addition and multiplication. In particular, the device can be combined with the threshold device to form a neuromorphic network, which not only realizes multi-value data storage, data decryption and encryption, but also intensity modulation of peak frequency. These results may throw light on the way for the future research of low-power multifunctional neuro morphology chips.</p></div>\",\"PeriodicalId\":48517,\"journal\":{\"name\":\"Materials Today Nano\",\"volume\":\"25 \",\"pages\":\"Article 100458\"},\"PeriodicalIF\":8.2000,\"publicationDate\":\"2024-02-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Materials Today Nano\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2588842024000087\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Today Nano","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2588842024000087","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
A low power memristor based on Lu doped HfO2 ferroelectric thin films and its multifunctional realization
Next-generation non-volatile memories with low power consumption and multiple functions are highly desired in the era of big data. Here, we report a high-performance ferroelectric memristor Pd/Lu:HfO2/La0.7Sr0.3MnO3/SrTiO3/Si, which has low average set and reset powers of 4.28 nW and 0.75 nW, respectively. It can successfully simulate biological synaptic functions, such as the refractory period, spike-timing-dependent plasticity, and paired pulse facilitation. Moreover, the device realizes the simulation of decimal addition and multiplication. In particular, the device can be combined with the threshold device to form a neuromorphic network, which not only realizes multi-value data storage, data decryption and encryption, but also intensity modulation of peak frequency. These results may throw light on the way for the future research of low-power multifunctional neuro morphology chips.
期刊介绍:
Materials Today Nano is a multidisciplinary journal dedicated to nanoscience and nanotechnology. The journal aims to showcase the latest advances in nanoscience and provide a platform for discussing new concepts and applications. With rigorous peer review, rapid decisions, and high visibility, Materials Today Nano offers authors the opportunity to publish comprehensive articles, short communications, and reviews on a wide range of topics in nanoscience. The editors welcome comprehensive articles, short communications and reviews on topics including but not limited to:
Nanoscale synthesis and assembly
Nanoscale characterization
Nanoscale fabrication
Nanoelectronics and molecular electronics
Nanomedicine
Nanomechanics
Nanosensors
Nanophotonics
Nanocomposites